Mac Studio (2023)
Geekbench AI Score
12295
Single Precision Score
12211
Half Precision Score
3820
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Fiona_Pickle |
| Upload Date | September 09 2024 04:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5737
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
5851
1.09 KIPS |
|
|
Image Classification (Q)
|
97% |
4485
836.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
11250
182.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11047
179.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10656
172.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
60770
70.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
63619
74.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
56630
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
5553
440.5 IPS |
|
|
Object Detection (HP)
|
100% |
5890
467.2 IPS |
|
|
Object Detection (Q)
|
92% |
4881
389.6 IPS |
|
|
Face Detection (SP)
|
100% |
21587
256.5 IPS |
|
|
Face Detection (HP)
|
100% |
22276
264.7 IPS |
|
|
Face Detection (Q)
|
100% |
15704
186.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
28433
219.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
28586
220.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
188.0 IPS |
|
|
Style Transfer (SP)
|
100% |
112456
144.6 IPS |
|
|
Style Transfer (HP)
|
100% |
125902
161.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115353
148.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19931
735.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21099
779.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15468
571.2 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (Q)
|
93% |
839
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2035
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2125
36.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2134
36.9 IPS |
